In order to enable comparisons and reproducibility we use the same training pipeline as in previous works [1]} . We apply the vertical flip and
the pad-and-crop augmentations and a 16 pixel cutout [2]} after any augmentation method. We trained Wide-ResNet [3]} models in the 40-2 and 28-10 configurations.
